Theodore Lowe‚ Ap #867-859
Sit Rd‚ Azusa New York
Find us here
Our team offers exceptional services and support.
We are specializing in big data solutions and providing
full-cycle custom software development.
YEARS OF EXPERIENCE IN THE IT SERVICES MARKET
PROJECTS FOR COMPANIES WITH A TOTAL MARKET VALUE OF 20+ BILLION DOLLARS
PERSON-DAYS FOR PROJECT DEVELOPMENT AND IMPLEMENTATION
Beginners
Advanced
Experts
Architecture and analytics of Big Data
This course provides a comprehensive understanding of big data systems, covering their architecture and analytics. Students will learn about distributed computing, NoSQL databases, Hadoop-based systems, and various data modeling and processing techniques. The course also includes practical exercises to design, implement, and manage big data systems using tools such as MapReduce, Spark, and Pig.
Predictive Analytics in Data Science
This course teaches the foundational principles and techniques of predictive analytics in data science through hands-on projects and case studies. Students will learn how to build and evaluate predictive models using statistical and machine learning methods. Upon completion, students will be able to apply predictive analytics to solve real-world problems in various industries.
Hands-on training in Data Science Modeling
This course offers practical training in data science modeling, teaching students how to build, evaluate, and optimize predictive models using statistical and machine learning techniques. Through hands-on projects, students will gain experience using industry-standard tools and software to implement data science models in real-world contexts.
Data processing using Big Data tools
This course teaches students how to process and analyze large volumes of data using big data tools and technologies, including the Hadoop ecosystem and programming languages such as Python and SQL. Students will learn to design and implement data processing pipelines, and optimize workflows for efficiency and scalability.
Analytics using BI
This course provides an overview of business intelligence (BI) and teaches students how to use BI tools and techniques to analyze and visualize data. Students will learn to create dashboards, reports, and visualizations for decision-making, as well as data modeling and warehousing concepts.